With the growing interests in utilizing the abundant data collected by various educational systems and tools to facilitate teaching and learning, Learning Analytics and Knowledge (LAK) and Educational Data Mining (EDM) emerged as two mainstream conferences for researchers and practitioners to report and share findings that are gained from such data-intensive research practices.
In 1687, Sir Isaac Newton published his seminal article “Philosophiae Naturalis Principia Mathematica” in which he described the motion of celestial bodies (Newton, 1987).
Massive Open Online Courses (MOOCs) have opened new educational possibilities for learners around the world. Numerous providers have emerged, which usually have different targets (geographical, topics or language), but most of the research and spotlight has been concentrated on the global providers and studies with limited generalizability.
The big data revolution is an exciting opportunity for universities, which typically have rich and complex digital data on their learners. It has motivated many universities around the world to invest in the development and implementation of learning analytics dashboards (LADs).
Whether they’re driven by commercial interests or not, most developers and companies care about positive impact. Of course, impact helps in selling products, but it’s also a key motivation in why people develop and refine technologies: they care about supporting learning.
Planning to implement learning analytics but don’t know where to start? Take a look at this checklist for implementing learning analytics successfully.
New piece based on Shibani’s PhD work on writing analytics, and the perspective of the educators in adopting and adapting a writing analytics technology and learning design to their contexts.
This post is a piece of procrastination. And I'm partly writing it because Matthew Syed brilliantly describes a form of procrastination in his excellent book Black Box Thinking, but truthfully I'm just procrastinating because I'm putting off a task that I'm finding difficult. :) The book deserves a better review than this, because I think it's…
In this episode, we discuss the topic of measuring impact with Dr Linda Corrin from Swinburne University in Australia and Prof Bart Rienties from Open University in the UK
M. Roski, R. Sebastian, R. Ewerth, A. Hoppe, and A. Nehring. Artificial Intelligence in Education - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings, volume 13916 of Lecture Notes in Computer Science, page 515--527. Springer, (2023)
M. Stamatakis, W. Gritz, J. Oldag, A. Hoppe, S. Schanze, and R. Ewerth. Artificial Intelligence in Education - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings, volume 13916 of Lecture Notes in Computer Science, page 824--829. Springer, (2023)
N. Rzepka, K. Simbeck, H. Müller, and N. Pinkwart. Proceedings of the 14th International Conference on Computer Supported Education, SCITEPRESS - Science and Technology Publications, (2022)